Introduction to Data Management Practices
Date: 17 - 19 March 2026
Language of instruction: English
Application Deadline: 10 February 2026 @ 23:59
Course Description
The Introduction to Data Management Practices course will introduce important research data management aspects through lectures, demonstrations, and hands-on computer exercises. This course is intended for researchers who want to take the first steps towards a more systematic and reproducible approach to documenting, describing and managing research data.
Topics covered will include:
- Open Science and FAIR in practice
- Organising data, files and folders in research projects
- Describing data with metadata
- Documentation using Markdown
- Publishing data to public data repositories
- Cleaning tabular data and metadata with OpenRefine
- Versioning data, documents and scripts (e.g. by using Git & GitHub)
- Writing Data Management Plans
What Participants Are Saying
"This course provided me with invaluable insights into managing my research data effectively!" - Participant Fall 2024
"The hands-on exercises were practical and easy to follow. Highly recommended!" - Participant Fall 2024
“This course should be mandatory for all new PhD-students, and PIs too.” -Participant Spring 2025
“This course opens up a new world. A large world, like a maze. But the course provides some sort of map.” - Participant 2021
Course fee
- 2000 SEK for participants from academic institutions
- 9500 SEK for participants from non-academic organisations
Contact: edu.intro-dm@nbis.se
Keywords: Data Management, Github, metadata, Open Science, FAIR
Venue: SciLifeLab Uppsala, Entrance C11, BMC, Husargatan 3, Uppsala
City: Uppsala
Country: Sweden
Prerequisites:
No previous programming experience is required.
Learning outcomes:
At the end of the course, students will be able to:
- Describe some reasons for the principles of Open Science and FAIR
- Organise their project files and folders in a structured way
- Find and select relevant metadata standards for their research project
- Find suitable public repositories for life science data and have an understanding of the requirements for submitting data to them
- Clean up existing tabular data
- Perform basic version control of files and have means to learn more advanced skills
- Have an understanding of the benefits of data management plans (DMPs) and what a DMP should contain
Target audience: PhD students, postdocs, researchers
Tech requirements:
You are required to bring your own laptop with the required software pre-installed. Installation instructions will be provided before the course starts.
Cost basis: Cost incurred by all
Cost: kr 2000.0 (SEK)
Activity log
